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dc.contributor.authorDatta, Sambit
dc.date.accessioned2017-01-30T11:20:59Z
dc.date.available2017-01-30T11:20:59Z
dc.date.created2011-11-18T01:21:20Z
dc.date.issued2006
dc.identifier.citationDatta, Sambit. 2006. Modeling dialogue with mixed initiative in design space exploration. Artificial Intelligence for Engineering Design, Analysis, and Manufacturing. 20 (2): pp. 129-142.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/10787
dc.identifier.doi10.1017/S0890060406060124
dc.description.abstract

Exploration with a generative formalism must necessarily account for the nature of interaction between humans and the design space explorer. Established accounts of design interaction are made complicated by two propositions in Woodbury and Burrow’s Keynote on design space exploration. First, the emphasis on the primacy of the design space as an ordered collection of partial designs (version, alternatives, extensions). Few studies exist in the design interaction literature on working with multiple threads simultaneously. Second, the need to situate, aid, and amplify human design intentions using computational tools. Although specific research and practice tools on amplification (sketching, generation, variation) have had success, there is a lack of generic, flexible, interoperable, and extensible representation to support amplification. This paper addresses the above, working with design threads and computer-assisted design amplification through a theoretical model of dialogue based on Grice’s model of rational conversation. Using the concept of mixed initiative, the paper presents a visual notation for representing dialogue between designer and design space formalism through abstract examples of exploration tasks and dialogue integration.

dc.publisherCambridge University Press
dc.subjectnavigation
dc.subjectmixed initiative
dc.subjectdesign spaces
dc.subjectgeneration
dc.subjectexploration
dc.titleModeling dialogue with mixed initiative in design space exploration
dc.typeJournal Article
dcterms.source.volume20
dcterms.source.number2
dcterms.source.startPage129
dcterms.source.endPage142
dcterms.source.issn0890-0604
dcterms.source.titleAI EDAM: artificial intelligence for engineering design, analysis, and manufactoring
curtin.note

Copyright © 2006 Cambridge University Press

curtin.departmentSchool of Built Environment
curtin.accessStatusOpen access


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